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openqa-cn/codexqa

codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.

Python ◇ agent-skills Apache-2.0
★104STARS
⑂2FORKS
!4ISSUES
🏆#10,452GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,316

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

codexqa gained 10 stars in the last 30 days, about 1 a day, and now has 104. It is about 1 year old and has averaged roughly 104 stars a year. It ranks #1,316 among Python repositories and #10,452 across all languages on GitHubRepo.

Trending Record

codexqa has maintained a continuous presence across global trending indexes, peaking at #1338. Below is the 30-day activity profile:

💡 Overview

codexqa is an open-source project written in Python: codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, agentskills, ai-code-review. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install codexqa

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

codexqa coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with codexqa.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install codexqa using your package manager: `pip install codexqa`

2

Initialize your project workspace or configuration file for codexqa.

3

Import codexqa into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `codexqa --help` to verify successful setup.

👍 Strengths

Active community backing with 104 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

openqa-cn/codexqa is currently ranked #10,452 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,412 codebar/planner Ruby ★ 105 Compare ↗
#10,412 jdthomas/bayer2rgb C ★ 105 Compare ↗
#10,412 zkat/sheeple Common Lisp ★ 105 Compare ↗
#10,412 schacon/igithub Objective-C ★ 105 Compare ↗
#10,412 lukegalea/hyperactiveresource Ruby ★ 105 Compare ↗
#10,452 openqa-cn/codexqa This Project Python ★ 104
#10,452 shihabal3amri/DiAuto Kotlin ★ 104 Compare ↗
#10,452 drnic/github-badges JavaScript ★ 104 Compare ↗
#10,452 evan/peep Ruby ★ 104 Compare ↗
#10,452 jcbagneris/fms-jcb Python ★ 104 Compare ↗
#10,452 apache/maven-scm Java ★ 104 Compare ↗

Frequently Asked Questions

What does codexqa do? +

codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.

What language is codexqa written in? +

The primary language is Python. Topics include: agent-skills, agentskills, ai-code-review, ai-testing, browser-automation.

Is codexqa actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 4 open issues being tracked.

How many stars does codexqa have? +

codexqa has 104 stars and 2 forks on GitHub.

How does codexqa rank among GitHub repositories? +

With 104 stars, openqa-cn/codexqa is ranked #10,452 globally across all repositories tracked on GitHubRepo and #1,316 among Python projects.

What license is codexqa distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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